Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Cooperative Multitasking with Twisted: Getting ...
Search
David Reid
February 01, 2012
Programming
810
1
Share
Cooperative Multitasking with Twisted: Getting Things Done Concurrently
David Reid
February 01, 2012
Other Decks in Programming
See All in Programming
AI時代のエンジニアリングの原則 / Engineering Principles in the AI Era
haru860
0
1.1k
AIを導入する前にやるべきこと
negima
2
340
Lightning-Fast Method Calls with Ruby 4.1 ZJIT / RubyKaigi 2026
k0kubun
3
2.6k
20260514 - build with ai 2026 - build LINE Bot with Gemini CLI
line_developers_tw
PRO
0
350
Spec-Driven Development with AI Agents (Workshop, May 2026)
antonarhipov
3
330
ソースコード→AST→オペコード、の旅を覗いてみる
o0h
PRO
1
130
AI-DLC Deep Dive
yuukiyo
9
5.6k
ローカルLLMでどこまでコードが書けるか / How much code can be written on a local LLM
kishida
2
330
PHPでバイナリをパースして理解するASN.1
muno92
PRO
0
430
Liberating Ruby's Parser from Lexer Hacks
ydah
2
2.6k
How We Benchmarked Quarkus: Patterns and anti-patterns
hollycummins
1
180
ハーネスエンジニアリングにどう向き合うか 〜ルールファイルを超えて開発プロセスを設計する〜 / How to approach harness engineering
rkaga
28
19k
Featured
See All Featured
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
199
73k
DBのスキルで生き残る技術 - AI時代におけるテーブル設計の勘所
soudai
PRO
65
54k
Leading Effective Engineering Teams in the AI Era
addyosmani
9
1.9k
Designing for humans not robots
tammielis
254
26k
How to Ace a Technical Interview
jacobian
281
24k
Building Adaptive Systems
keathley
44
3k
Testing 201, or: Great Expectations
jmmastey
46
8.1k
The State of eCommerce SEO: How to Win in Today's Products SERPs - #SEOweek
aleyda
2
10k
技術選定の審美眼(2025年版) / Understanding the Spiral of Technologies 2025 edition
twada
PRO
118
110k
What’s in a name? Adding method to the madness
productmarketing
PRO
24
4k
Optimizing for Happiness
mojombo
378
71k
Game over? The fight for quality and originality in the time of robots
wayneb77
1
170
Transcript
Cooperative Multitasking with Twisted “Getting Things Done Concurrently” David Reid
<
[email protected]
>
Alternate Title
Alternate Title How I learned to stop worrying (about threads)
and use timed events to yield to the reactor so that synchronous tasks can cooperate with each other in a single thread.
Cooperative Multitasking
Cooperative Multitasking
Cooperative Multitasking
Cooperative Multitasking
Cooperative Multitasking
Cooperative Multitasking
Things will block
Fine in moderation
So what blocks?
Non-twisted networking
Non-twisted networking urllib & httplib smtplib python-memcached
Non-twisted networking twisted.web.client twisted.mail.smtp twisted.protocols.memcache
C Extensions
C Extensions DB-APIs: psycopg2, sqlite Hard math: PyCrypto socket.gethostbyname
C Extensions twisted.enterprise deferToThread deferToThread/twisted.names
File I/O
File I/O Yeah ... pretty much all of it.
The for loop.
def do_stuff(data): for x in data: do_work(x)
def do_stuff(data): for x in data: do_work(x)
Next: Introducing Twisted in 3 slides.
while true: stuff = wait_for_stuff(timeout) if stuff: check_reads_and_writes() run_timed_events() The
Reactor: Approximately
while true: stuff = wait_for_stuff(timeout) if stuff: check_reads_and_writes() run_timed_events() The
Reactor: Approximately
while true: stuff = wait_for_stuff(timeout) if stuff: check_reads_and_writes() run_timed_events() The
Reactor: Approximately
while true: stuff = wait_for_stuff(timeout) if stuff: check_reads_and_writes() run_timed_events() The
Reactor: Approximately
Deferreds Data Source result or failure Deferred
Deferreds Data Source result or failure Deferred res
Deferreds Data Source result or failure Deferred err
Deferreds Data Source result or failure Deferred
Deferreds Data Source result or failure Deferred err
Deferreds Data Source result or failure Deferred res
reactor.callLater
reactor.callLater reactor.callLater(10, do_stuff)
reactor.callLater reactor.callLater(0.001, do_stuff)
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
twisted.internet.task.Cooperator
twisted.internet.task.Cooperator twisted.internet.task.coiterate
twisted.internet.task.Cooperator twisted.internet.task.coiterate twisted.internet.task.cooperate
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return coiterate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return coiterate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return coiterate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return coiterate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return coiterate(doterator())
• Similar to coiterate • Returns a CooperativeTask instead of
a Deferred cooperate
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
• Your code is going to block. • Iterating over
stuff is a big place where synchronous code blocks for unacceptable periods of time. • Iterating is easily broken up by timed events. • Twisted comes with APIs for making this easy. • These APIs are the building blocks for your ideal task system.
Questions (Mine, not yours.)
Why?
Why? Being able to do more stuff is sometimes more
important than doing stuff quickly. * * Making a single user’s request 10ms faster is great, but not if you can only handle 1 request at a time.
Why call later instead of next iteration?
Why call later instead of next iteration? Timed events are
more flexible and you need them anyway.
Can’t I just use deferToThread for python code?
Can’t I just use deferToThread for python code? Yes, but
the GIL hates you.
Can’t I just use deferToThread for python code? Yes, but
the GIL hates you. It’s OK, it hates me too.
Can’t I just run code in a separate processes?
Can’t I just run code in a separate processes? Yes,
look at Ampoule.
Can’t I just run code in a separate processes? Yes,
look at Ampoule. But you probably want those processes to do more than one thing too.
This isn’t appropriate for my situation at all.
This isn’t appropriate for my situation at all. So don’t
do it.
This isn’t appropriate for my situation at all. So don’t
do it. Seriously.
SERIOUSLY.
• Twisted (http://twistedmatrix.com) • Ampoule (https://launchpad.net/ampoule) • txRDQ (https://launchpad.net/txrdq) •
Mochi Media (WE’RE HIRING) • http://mochimedia.com • http://bit.ly/mochi-jobs References